Miscelánea
Wesclen Vilar Nogueira
Universidade Federal do Rio Grande
Rio Grande, Rio Grande do Sul, Brazil
wesclenvilar@gmail.com
ORCID: 0000-0002-9353-847X
Juliane Lima da Silva
Universidade Federal do Rio Grande
Rio Grande, Rio Grande do Sul, Brazil
julianelima@furg.br
ORCID: 0000-0002-8462-4683
Ediane Patrícia Pedrosa Braga
Universidade Federal do Rio Grande
Rio Grande, Rio Grande do Sul, Brazil
bragaep1@gmail.com
ORCID: 0009-0007-9750-9952
Larine Kupski
Universidade Federal do Rio Grande
Rio Grande, Rio Grande do Sul, Brazil
larinekupski@yahoo.com.br
ORCID: 0000-0002-6754-979X
Jaqueline Garda-Buffon
Universidade Federal do Rio Grande
Rio Grande, Rio Grande do Sul, Brazil
jaquelinebuffon@furg.br
ORCID: 0000-0002-7699-6217
Información del artículo
Recibido: 27/04/2023
Revisado: 05/09/2023
Aceptado: 08/12/2023
Online: 02/06/2024
Publicado: 10/01/2025
ISSN 2340-8472
ISSNe 2340-7743
cc-by
© Universidad de Jaen (Espana).
Seminario Permanente Agua, Territorio y Medio Ambiente (CSIC)
ABSTRACT
This study aimed to evaluate the occurrence of pesticides and mycotoxins in water (e. g., drinking, well, tap and river water) published in the literature from 2008 to 2023 and to estimate the risks of exposure for humans to these contaminants through water consumption. An occurrence survey showed that maximum concentrations of pesticides and mycotoxins were 88,732 and 19,500 ng/L, respectively, in water. Exposure risk assessment estimated by daily intake (DI) of pesticides and mycotoxins showed that children, young people and adults, in descending order, are affected. Therefore, the younger the age group, the greater the exposure risk to contaminants when ingestion of water containing maximum concentrations was analyzed by the occurrence survey.
KEYWORDS: Children, Contaminants, Daily Intake, Water Consumption.
RESUMEN
Este estudio tuvo como objetivo evaluar la presencia de pesticidas y micotoxinas en el agua (por ejemplo, agua potable, de pozo, del grifo y de río) publicada en la literatura de 2008 a 2023 y estimar los riesgos de exposición de los humanos a estos contaminantes a través del consumo de agua. Una encuesta de ocurrencia mostró que las concentraciones máximas de pesticidas y micotoxinas fueron 88.732 y 19.500 ng/L, respectivamente, en el agua. La evaluación del riesgo de exposición estimada por la ingesta diaria (ID) de pesticidas y micotoxinas mostró que los niños, jóvenes y adultos, en orden descendente, se ven afectados. Por lo tanto, cuanto más joven es el grupo de edad, mayor es el riesgo de exposición a contaminantes cuando se analiza la ingestión de agua que contiene concentraciones máximas mediante la encuesta de ocurrencia.
PALABRAS CLAVE: Niños, Contaminantes, Ingesta Diaria, Consumo de Agua.
Os pesticidas e micotoxinas na água representam um risco de exposição para os seres humanos?
RESUMO
Este estudo teve como objetivo avaliar a ocorrência de agrotóxicos e micotoxinas na água (e.g. potável, de poço, de torneira e de rio) publicada na literatura no período de 2008 a 2023 e estimar os riscos de exposição humana a esses contaminantes por meio do consumo de água. Um levantamento de ocorrência mostrou que as concentrações máximas de agrotóxicos e micotoxinas foram de 88732 e 19500 ng/L, respectivamente, na água. A avaliação do risco de exposição estimado pela ingestão diária (ID) de agrotóxicos e micotoxinas mostrou que crianças, jovens e adultos, em ordem decrescente, são afetados. Portanto, quanto menor a faixa etária, maior o risco de exposição a contaminantes quando a ingestão de água com concentrações máximas foi analisada pelo levantamento de ocorrência.
PALAVRAS-CHAVE: Crianças, Contaminantes, Ingestão Diária, Consumo de Água.
Les pesticides et les mycotoxines dans l’eau présentent-ils un risque d’exposition pour les humains?
RÉSUMÉ
Cette étude visait à évaluer la présence de pesticides et de mycotoxines dans l’eau (e.g. eau de boisson, de puits, du robinet et de rivière) publiée dans la littérature de 2008 à 2023 et à estimer les risques d’exposition pour l’homme à ces contaminants par la consommation d’eau. Une enquête d’occurrence a montré que les concentrations maximales de pesticides et de mycotoxines étaient respectivement de 88732 et 19500 ng/L dans l’eau. L’évaluation du risque d’exposition estimé par la dose journalière (DI) de pesticides et de mycotoxines a montré que les enfants, les jeunes et les adultes, par ordre décroissant, sont touchés. Par conséquent, plus le groupe d’âge est jeune, plus le risque d’exposition aux contaminants est élevé lorsque l’ingestion d’eau contenant des concentrations maximales a été analysée par l’enquête sur les occurrences.
MOTS CLÉ: Enfants, Contaminants, Apport Journalier, Consommation d’Eau.
I pesticidi e le micotossine nell’acqua rappresentano un rischio di esposizione per l’uomo?
SOMMARIO
Questo studio mirava a valutare la presenza di pesticidi e micotossine nell’acqua (ad es. acqua potabile, di pozzo, di rubinetto e di fiume) pubblicata in letteratura dal 2008 al 2023 e di stimare i rischi di esposizione per l’uomo a questi contaminanti attraverso il consumo di acqua. Un’indagine sugli eventi ha mostrato che le concentrazioni massime di pesticidi e micotossine erano rispettivamente di 88732 e 19500 ng/L nell’acqua. La valutazione del rischio di esposizione stimato in base all’assunzione giornaliera (DI) di pesticidi e micotossine ha mostrato che i bambini, i giovani e gli adulti, in ordine decrescente, ne sono colpiti. Pertanto, più giovane è la fascia di età, maggiore è il rischio di esposizione ai contaminanti quando l’ingestione di acqua contenente le concentrazioni massime è stata analizzata dall’indagine sull’occorrenza.
PAROLE CHIAVE: Bambini, Contaminanti, Assunzione Giornaliera, Consumo di Acqua.
Population growth promotes the search for efficient production in agricultural sectors1. The use of chemicals, such as pesticides (e. g., fungicides, herbicides and insecticides), is one of the processes used for increasing agricultural production2. Inevitably, pesticides have been widely applied because they mitigate damage to crops caused by fungi, insects, weeds and other pests3. Fungi, which are responsible for causing between 50 and 80 % of crop damage, affect mainly grain production. Alternaria, Aspergillus, Fusarium and Penicillium stand out among fungus genera due to their wide geographic distribution, morphological and physiological variability and pathogenicity4. However, pesticide application to control fungal diseases may affect and, in some cases, potentiate mycotoxin production by toxigenic microorganisms5.
Another important issue is the fate of pesticides and mycotoxins when they are in the agricultural production chain. Pesticides have been widely studied due to their high toxicity, chemical stability and environmental persistence6. Since they are directly applied to the environment, studies have focused on environmental matrices and produced knowledge about their fate and partitioning between environmental compartments. On the other hand, mycotoxins are known for their resistance to physical and chemical treatments in food matrices and little is known about their environmental fate in environmental compartments6. Thus, environmental fate of these contaminants is determined by their physicochemical properties, which may allow greater solubility and mobility. As a result, they may be drained and/or leached and spread through the water environment7.
The World Health Organization (WHO)8 reports that one out of three people in the world does not have access to potable water. In rural areas, this number is even higher, i. e., 8 out of 10 people do not have potable water. They use water from wells (e. g., shallow or artesian wells) or directly from rivers, with high potential of contamination with pesticides and mycotoxins. Thus, this study aimed at evaluating data on the occurrence of pesticides and mycotoxins in water (e. g., drinking, river, tap and well water) published in the literature and at estimating exposure risks to these contaminants through water consumption associated with described incidence.
Search for data on the occurrence of pesticides and mycotoxins in water was carried out in electronic databases, including Embase, Google Scholar, PubMed and Scopus. The following keywords were used: “occurrence” or “concentration” or “contamination” and “pesticides” or “acaricide” or “bactericide” or “defoliants” or “fungicide” or “herbicide” or “insecticide” or “molluscicides” or “rodenticides” or “crop protection” or “agrochemicals” and “mycotoxins” or “secondary metabolites” and “water” or “drinking water” or “bottled water” or “river” or “wastewater” or “surface water” or “leach” and “continent” or “Africa” or “America” or “Asia” or “Europe” or “Oceania”. In the search strategy, all keywords were associated with primary results to minimize losses of studies. In addition, to complement the automatic search, all references of selected papers and review papers were evaluated in order to find other relevant studies.
To be included in this study of the occurrence of pesticides and mycotoxins, papers should meet the following criteria: (i) uniterms mentioned in the previous item included in the title, abstract or keywords; (ii) data on occurrence of pesticides and/or mycotoxins in water; (iii) published between 2008 and 2023; and (iv) availability of complete data. There were no restrictions regarding the language of the studies. On the other hand, short communications, letters, comments and abstracts in conference proceedings were excluded from the selection.
Daily intake (DI) is generally used for estimating human exposure to a given contaminant. Thus, DI of pesticides and mycotoxins were estimated by Equation 1, where DI is expressed as µg/kg per day, C is the highest level of contamination of every pesticide and mycotoxin in water in the occurrence survey (µg/L), WI is the average water intake (L/day) (for children, young people and adults, values of 1, 1.5 and 2 L, respectively, were assumed), EF is the exposure frequency (350 days/year), EL is exposure length (for children, young people and adults, values of 6, 17 and 64 years, respectively, were assumed), BW is body mass (for children, young people and adults, values of 32, 52, 72 kg, respectively, were assumed) and AT is average life expectancy (for children, young people and adults, values of 2,190, 6,205 and 23,360 days, respectively, were assumed)9.
DI calculations were established for drinking, tap, well and river water to demonstrate the quality of this resource in relation to the presence of pesticides and mycotoxins. DI values were compared to reference values and provisional values established by the WHO10.
In the field, the synthesis of mycotoxins may be related to chemical stress that pesticides may cause to fungal species11, which may positively influence concentrations of these metabolites in products from the agricultural production chain12. Ellner13 found that the use of amistar and folicur, pesticides containing strobilurins, potentiated the synthesis of deoxynivalenol (DON) in wheat cultivars. The author describes that the synthesis of DON is independent of the cultivar and time of application of fungicides. In addition, he states that DON synthesis was lower when fungicide application occurred close to flowering, by comparison with the early treatment. Similar behavior was observed by Feksa et al.14 when they evaluated the use of azoxystrobin to control Gibberella in wheat grains. The authors report that the use of azoxystrobin, a pesticide that also contains strobilurins, reduced fungal contamination with increase in DON concentration in grains.
Bellí et al.15 found that the use of fenhexamide and mancozeb increased production of ochratoxin A (OTA) in grapevines in 50 and 80 %, respectively. Costa, Cerqueira and Garda-Buffon16 evaluated the in vitro toxigenic potential of Aspergillus carbonarius in the presence of famoxadone and cresoxim-methyl. The authors found that famoxadone and cresoxim-methyl reduced fungal growth in 76 and 60 %, respectively. However, OTA production doubled in the groups treated with both fungicides, by comparison with the control group.
Despite the scarce number of studies that report increase in mycotoxin synthesis with the use of pesticides, this effect may be observed in several mycotoxins and in different agricultural cultivars. It is justified because some species of toxigenic fungi are able to produce several mycotoxins when subject to stressful situations17. Even though some toxigenic species belonging to Aspergillus and Penicillium are able to synthesize OTA, they also produce aflatoxins, such as aflatoxin B1 (AFB1), the mycotoxin with the highest toxic potential among aflatoxins18, classified as carcinogenic for animals and humans by the International Agency for Research on Cancer19. Production of several mycotoxins by the same fungal genus is related to the fact that they have high adaptive capacity to environments and substrates that they colonize, even when they have low water activity20.
The presence of these contaminants is considered a challenge for quality control and safety in food production in all agricultural production chains. It is noteworthy that around 90 % of pesticides applied to crops does not reach target organisms. Pesticides may be retained in the soil or grains, subject to degradation in different chemical forms, thus, collaborating with fungal stress and enabling greater synthesis of mycotoxins in commodities21. The problem related to increase in synthesis of mycotoxins by use of pesticides is not only restricted to the cultivation system. Because they have hydrophilic characteristics, some pesticides and mycotoxins may be disposed of from agricultural fields through the process of leaching and surface runoff, a fact that contributes to their increasingly occurrence in surface and groundwater, including drinking water intended for human consumption (Table 1 and Table 2).
Table 1. Occurrence of pesticides in water
Matrix |
Pesticide (CF in ng/L) |
Country |
Reference |
Drinking water |
ATZ (0–4) |
Luxembourg |
|
Drinking water |
IMD (1.22-26.36), CLO (3.89-33.46) and THM (0.26-4.14) |
United States |
|
Drinking water |
IMD (ND-4.8), THD (ND-2.7) and THM (ND-91.7) |
Canada |
|
Drinking water |
ATZ (5-37), AZO (100-192), BEN (30-30), CAR (20-50), CMZ (40-164), CYP (10-14), DIU (40-490), EPX (70-70), IMI (12-15), IMA (12-37), IRG (4-4), PRP (10-10), QUC (124-248) and TBZ (40-460) |
Brazil |
|
Tap water |
ATZ (0–44) |
Luxembourg |
|
Tap water |
FIP (<0.1-5) and IMD (<0.1-0.2) |
Canada |
|
Tap water |
ACE (<0.002-69.2), CLO (<0.005-104), DIN (<0.003-312), IMD (<0.02-68.3), THD (<0.002-74.2) and THM (<0.03-214) |
China |
|
River water |
ATZ (100-7300) |
United States |
|
River water |
DIU (ND-86.7), DIN (ND-1.6) and IMI (ND-35.3) |
Georgia |
|
River water |
ACE (ND-1.4), CLO (ND-12), DIN (3.7-100), IMD (ND-25) and THM (ND-11) |
Japan |
|
River water |
IMD (5-28000) |
Netherlands |
|
River water |
ACE (ND-380), CLO (ND-420), IMD (ND-4560), THD (ND-400) and THM (ND-200) |
Australia |
|
River water |
FIP (0.24–0.92), FIPD (<0,08- 0,37) and FIPS (0.16–0.39) |
Germany |
|
River water |
2,4-D (2625-88732), ATZ (80-10560), CBD (20-1396), EPX (50-261), IMD (20-1437), PRO (20-130), MEM (2-29), MTR (200-421), NIC (7-175), PRS (4-12), SIM (50-2905), TBZ (15-737), THI (36-79) |
Brazil |
|
River water |
ACE (0.62-308.96), CLO (ND-12.78), DIN (ND-6.2), IMD (0.03-30.78), NIT (ND-5.31), THD (ND-0.93) and THM (ND-9.69) |
China |
|
Well water |
DIC (ND-69), FEB (ND-110), FEN (2-476) and IMD (nd-153) |
Vietnam |
|
Well water |
CHL (5-32), IMD (17-43), ISO (7-18), MZC (15-15) and NIC (12-30) |
Poland |
2,4-D = 2,4-dichlorophenoxyacetic acid, ACE = acetamiprid, ATZ = atrazine, AZO = azoxystrobin, BEN = bentazone, CAR = carbofuran, CBD = carbendazim, CF = contamination range, CHL = chlorotoluron, CLO = clothianidin, CMZ = clomazone, CYP = cyproconazole, DIC = dichlorvos, DIN = dinotefuran, DIU = diuron, EPX = epoxiconazole, FEB = fenobucarb, FEN = fenitrothion, FIP = fipronil, FIPD = fipronil-desulfinyl, FIPS = fipronil-sulfone, IMD = imidacloprid, IMA = imazethapyr, IMI = imazapic, IRG = irgarol, ISO = Isoproturon, ND = not detected, MEM = mesosulfuron-methyl, MTR = mesotrione, MZC = metazachlor, NIC = nicosulfuron, NIT = nitenpyram, PRO = propuxur, PRP = propanil, PRS = prosulfuron, QUC = quinclorac, SIM = simazine, TBZ = tebuconazole, THD = thiacloprid, THI = thifensulfuron-methyl, THM = thiamethoxam.
Source: own elaboration.
Table 2. Occurrence of mycotoxins in water
Matrix |
Mycotoxin (CF in ng/L) |
Country |
Reference |
Drinking water |
AFB1 (0.22-0.70), AFB2 (0.16-0.48), AFG1 (0.42-0.60) and OTA (0.22-0.26) |
Portugal |
|
Drinking water |
AFB1 (0.052-0.075) |
India |
|
Drinking water |
AFB1 (260-470) and KJA (300-4100) |
Spain |
|
Tap water |
3-ADON (18.74-145.69), 15-ADON (15.14-71.61), AFB1 (3.083-3.083), AFM1 (0.099-0.099), AFG1 (0.013-0.013), AFG2 (3.05-3.18), DON (8.40-71.61) and STC (0.223-0.223) |
South Africa |
|
Tap water |
AFB1 (200-19500) and OTA (300-14400) |
Egypt |
|
River water |
DON (ND-22) |
Switzerland |
|
River water |
ZEN (0.7-43.7) |
Poland |
|
River water |
DON (11-583) and ZEN (8-47) |
United States |
|
River water |
ZEN (2-25) |
Poland |
|
River water |
3-ADON (ND-49.3), α-ZEL (ND-1701), β-ZEL (ND-1828), DON (5-1662), NIV (ND-43.7), VERA (ND-42.3) and ZEN (ND-96) |
United States |
|
River water |
ZEN (17-17) and β-ZEL (168-168) |
Brazil |
|
Well water |
ZEN (<0.3-0.5) |
Poland |
3-ADON = 3-acetyldeoxynivalenol, 15-ADON = 15-acetyldeoxynivalenol, α-ZEL = α-zearalenol, β-ZEL = β-zearalenol, AFB1 = Aflatoxin B1, AFB2 = Aflatoxin B2, AFG1 = Aflatoxin G1, AFM1 = Aflatoxin M1, BEA = beauvericin, CF = contamination range, DON = deoxynivalenol, FB1 = fumonisin B1, FB2 = fumonisin B2, FB3 = fumonisin B3, KJA = kojic acid, ND = not detected, NIV = nivalenol, STC = terigmatocystin, VERA = verrucarin A, ZEN = zearalenone.
Source: own elaboration.
The occurrence survey in Table 1 shows that IMD has higher occurrence in different matrices, followed by THM and CLO. IMD has higher occurrence than other pesticides when matrices are evaluated individually. In Table 2, ZEN has the highest occurrence in different matrices, followed by DON and AFB1. AFB1 has higher occurrence in drinking and tap water while ZEN occurs in river water. In well water, a single study reports the occurrence of a single mycotoxin, ZEN. Kolpin et al.22 were the only authors to report the co-occurrence of ATZ, DON and ZEN in river water samples. Contamination of water bodies with pesticides and mycotoxins through leaching may be considered a problem, especially in tropical and equatorial regions, where there is high rainfall23. Considering that water is an important route of exposure to various contaminants for humans and that conventional water treatment processes are not 100 % effective, contamination of water resources has become a worldwide concern due to the toxic effects that they may cause24.
Humans are constantly exposed to various toxic chemicals in food and drink consumed on a daily basis. Therefore, considering that water is essential for life, estimating the risk to human health caused by contaminants is important to support actions that guarantee its safe supply to the population. In the case of pesticides and mycotoxins in water, DI estimates concentrations of these contaminants that different age groups are exposed to daily. The highest DIs of pesticides and mycotoxins were in a descending order for children, young people and adults (Table 3). Thus, young individuals are exposed to higher concentrations of pesticides and mycotoxins when they drink water at concentrations analyzed by the occurrence survey.
Table 3. Estimated daily intake (DI) (µg/kg) of pesticides and mycotoxins in terms of maximum concentrations in water
Pesticide |
Age group |
DI (µg/kg) |
|||
Drinking water |
Tap water |
Well water |
River water |
||
2,4-D |
Child |
2.6589 |
|||
Young |
0.0735 |
||||
Adult |
0.0020 |
||||
ACE |
Child |
0.0021 |
0.0114 |
||
Young |
5.74E-5 |
0.0003 |
|||
Adult |
1.53E-6 |
8.39E-6 |
|||
ATZ |
Child |
0.0011 |
0.0013 |
0.3164 |
|
Young |
3.07E-5 |
3.65E-5 |
0.0088 |
||
Adult |
8.17E-7 |
9.71E-7 |
0.0002 |
||
AZO |
Child |
0.0058 |
|||
Young |
0.0002 |
||||
Adult |
4.24E-6 |
||||
BEM |
Child |
0.0009 |
|||
Young |
2.49E-5 |
||||
Adult |
6.62E-7 |
||||
CAR |
Child |
0.0015 |
|||
Young |
4.14E-5 |
||||
Adult |
1.10E-6 |
||||
CBD |
Child |
0.0418 |
|||
Young |
0.0012 |
||||
Adult |
3.08E-5 |
||||
CHL |
Child |
0.0010 |
|||
Young |
2.65E-5 |
||||
Adult |
7.06E-7 |
||||
CLO |
Child |
0.0010 |
0.0031 |
0.0126 |
|
Young |
2.77E-5 |
8.62E-5 |
0.0003 |
||
Adult |
7.39E-7 |
2.30E-6 |
9.27E-6 |
||
CMZ |
Child |
0.0049 |
|||
Young |
0.0001 |
||||
Adult |
3.62E-6 |
||||
CYP |
Child |
0.0004 |
|||
Young |
1.15E-5 |
||||
Adult |
3.09E-7 |
||||
DIC |
Child |
0.0021 |
|||
Young |
5.72E-5 |
||||
Adult |
1.52E-6 |
||||
DIN |
Child |
0.0093 |
0.0030 |
||
Young |
0.0003 |
8.29E-5 |
|||
Adult |
6.89E-6 |
2.21E-6 |
|||
DIU |
Child |
0.0147 |
0.0026 |
||
Young |
0.0004 |
7.19E-5 |
|||
Adult |
1.08E-5 |
1.91E-6 |
|||
EPX |
Child |
0.0021 |
0.0078 |
||
Young |
5.80E-5 |
0.0002 |
|||
Adult |
1.55E-6 |
5.76E-6 |
|||
FEB |
Child |
0.0033 |
|||
Young |
9.12E-5 |
||||
Adult |
2.43E-6 |
||||
FEN |
Child |
0.0143 |
|||
Young |
0.0004 |
||||
Adult |
1.05E-5 |
||||
FIP |
Child |
0.0001 |
2.76E-5 |
||
Young |
4.14E-6 |
7.63E-7 |
|||
Adult |
1.10E-7 |
2.03E-8 |
|||
FPID |
Child |
1.11E-5 |
|||
Young |
3.07E-7 |
||||
Adult |
8.17E-9 |
||||
FIPS |
Child |
1.17E-5 |
|||
Young |
3.23E-7 |
||||
Adult |
8.61E-9 |
||||
IMA |
Child |
0.0004 |
|||
Young |
1.24E-5 |
||||
Adult |
3.31E-7 |
||||
IMD |
Child |
0.0008 |
0.0020 |
0.0046 |
0.8390 |
Young |
2.18E-5 |
5.66E-5 |
0.0001 |
0.0232 |
|
Adult |
5.82E-7 |
1.51E-6 |
3.38E-6 |
0.0006 |
|
IMI |
Child |
0.0011 |
|||
Young |
2.93E-5 |
||||
Adult |
7.79E-7 |
||||
IRG |
Child |
0.0001 |
|||
Young |
3.32E-6 |
||||
Adult |
8.83E-8 |
||||
ISSO |
Child |
0.0005 |
|||
Young |
1.49E-5 |
||||
Adult |
3.97E-7 |
||||
MEM |
Child |
0.0009 |
|||
Young |
2.40E-5 |
||||
Adult |
6.4E-7 |
||||
MTR |
Child |
0.0126 |
|||
Young |
0.0003 |
||||
Adult |
9.29E-6 |
||||
MZC |
Child |
0.0004 |
|||
Young |
1.24E-5 |
||||
Adult |
3.31E-7 |
||||
NIC |
Child |
0.0009 |
0.0052 |
||
Young |
2.49E-5 |
0.0001 |
|||
Adult |
6.62E-7 |
3.86E-6 |
|||
NIT |
Child |
0.0002 |
|||
Young |
4.40E-6 |
||||
Adult |
1.17E-7 |
||||
PRO |
Child |
0.0039 |
|||
Young |
0.0001 |
||||
Adult |
2.87E-6 |
||||
PRP |
Child |
0.0003 |
|||
Young |
8.29E-6 |
||||
Adult |
2.21E-7 |
||||
PRS |
Child |
0.0004 |
|||
Young |
9.95E-6 |
||||
Adult |
2.65E-7 |
||||
QUC |
Child |
0.0074 |
|||
Young |
0.0002 |
||||
Adult |
5.48E-6 |
||||
SIM |
Child |
0.0628 |
|||
Young |
0.0017 |
||||
Adult |
4.63E-5 |
||||
TBZ |
Child |
0.0138 |
0.0221 |
||
Young |
0.0004 |
0.0006 |
|||
Adult |
1.02E-5 |
1.63E-5 |
|||
THD |
Child |
8.09E-5 |
0.0022 |
0.0120 |
|
Young |
2.24E-6 |
6.15E-5 |
0.0003 |
||
Adult |
5.96E-8 |
1.64E-6 |
8.83E-6 |
||
THI |
Child |
0.0024 |
|||
Young |
6.55E-5 |
||||
Adult |
1.74E-6 |
||||
THM |
Child |
0.0027 |
0.0064 |
0.0060 |
|
Young |
7.60E-5 |
0.0002 |
0.0002 |
||
Adult |
2.02E-6 |
4.72E-6 |
4.42E-6 |
||
Mycotoxin |
Age group |
DI (µg/kg) |
|||
Drinking water |
Tap water |
Well water |
River water |
||
3-ADON |
Child |
0.0044 |
0.0015 |
||
Young |
0.0001 |
4.09E-5 |
|||
Adult |
3.22E-6 |
1.09E-6 |
|||
15-ADON |
Child |
0.0021 |
|||
Young |
5.94E-5 |
||||
Adult |
1.58E-6 |
||||
α-ZEL |
Child |
0.0510 |
|||
Young |
0.0014 |
||||
Adult |
3.76E-5 |
||||
β-ZEL |
Child |
0.0548 |
|||
Young |
0.0015 |
||||
Adult |
4.04E-5 |
||||
AFB1 |
Child |
0.0141 |
0.5843 |
||
Young |
0.0004 |
0.0162 |
|||
Adult |
1.04E-5 |
0.0004 |
|||
AFB2 |
Child |
1.44E-5 |
|||
Young |
3.98E-7 |
||||
Adult |
1.06E-8 |
||||
AFG1 |
Child |
1.80E-5 |
3.90E-7 |
||
Young |
4.97E-7 |
1.08E-8 |
|||
Adult |
1.32E-8 |
2.87E-10 |
|||
AFG2 |
Child |
9.53E-5 |
|||
Young |
2.64E-6 |
||||
Adult |
7.02E-8 |
||||
AFM1 |
Child |
2.97E-6 |
|||
Young |
8.21E-8 |
||||
Adult |
2.19E-9 |
||||
DON |
Child |
0.0021 |
0.0498 |
||
Young |
5.94E-5 |
0.0014 |
|||
Adult |
1.58E-6 |
3.67E-5 |
|||
KJA |
Child |
0.1229 |
|||
Young |
0.0034 |
||||
Adult |
9.05E-5 |
||||
NIV |
Child |
0.0013 |
|||
Young |
3.63E-5 |
||||
Adult |
9.65E-7 |
||||
OTA |
Child |
7.79E-6 |
0.4315 |
||
Young |
2.16E-7 |
0.0119 |
|||
Adult |
5.74E-9 |
0.0003 |
|||
STC |
Child |
6.68E-6 |
|||
Young |
1.85E-7 |
||||
Adult |
4.92E-9 |
||||
VERA |
Child |
0.0013 |
|||
Young |
3.51E-5 |
||||
Adult |
9.34E-7 |
||||
ZEN |
Child |
1.50E-5 |
0.0029 |
||
Young |
4.14E-7 |
7.96E-5 |
|||
Adult |
1.10E-8 |
2.12E-6 |
|||
* = not reported by the occurrence survey.
Source: own elaboration.
Regarding pesticides, the highest DIs (children/young people/adults) were observed for 2,4-D (2.6589/0.0735/0.0020 µg/kg), IMD (0.8390/0.0232/0.0006 µg/kg) and ATZ (0.3168/0.0088 /0.0002 µg/kg) in river water, followed by IUD (0.0147/0.0004/1.08E-05 µg/kg), TBZ (0.0138/0.0004/1.02E-5 µg/kg) and QUC (0.0074/0.0002/5.48 E-6 µg/kg) in drinking water, DIN (0.0093/0.0003/6.89E-6 µg/kg), THM (0.0022/6.15E-5/1.64E-6 µg/kg) and CLO (0.0031/8.62 E-5/2.30E-6 µg/kg) in tap water and FEN (0.0143/0.0004/1.05E-5 µg/kg), IMD (0.0046/0.0001/0.38E-6 µg/kg) and FEB (0.0033 /9.12E-5/2.43E-6 µg/kg) in well water. Concerning mycotoxins, the highest IDs were observed for AFB1 (0.5843/0.0162/0.004 µg/kg), OTA (0.4315/0.0119/0.0003 µg/kg) and 3-ADON (0.0044/0.0001/3.22E-6 µg/kg) in tap water, followed by KJA (0.1229/0.0034/9.05E-5 µg/kg), AFB1 (0.0141/0.0004/1.04E-5 µg/kg) and AFG1 (1.80E-5/ 4.97E-7/1.32 E-8 µg/kg) in drinking water, β-ZEL (0.0548/0.0015/4.04E-5 µg/kg), α-ZEL (0.0510/0.0014/3.76E-5 µg/kg) and DON (0.0498/0.0014 /3.67E-5 µg/kg) in river water and ZEN (1.50E-5/4.14E-7/1.10E-8 µg/kg) in well water. DIs did not represent any exposure risk, according to the WHO54. However, tolerable daily intake (TDI), i.e., concentrations that can be ingested without risk to health and with a safety margin, established by the WHO are defined only for ATZ, BEM, CAR, CHL, 2,4-D, DIC, ISO and SIM in potable water. i. e., 20, 9, 2, 11300, 10, 4, 3 and 0.52 µg/kg, respectively. The other pesticides reported in the occurrence survey had no established reference values of TDI. Regarding mycotoxins, no legislation establishes TDI values related to water consumption.
According to WHO55, DI values of pesticides calculated do not pose any exposure risk. In the case of mycotoxins, it is important to say that the European Commission warns that AFB1 consumption of concentrations below 1 ng/kg/day may cause carcinogenic effects56. Additionally, their incidence in water at low concentrations without any acute toxic effect, bioaccumulation in the food chain and simultaneous ingestion of these contaminants may result in toxic synergism. Michel et al.57 verified not only the occurrence of FIP and its metabolites FIPD and FIPS in river water samples but also their occurrence in muscle tissue of eels captured downstream from collection spots of water samples. FIP was predominant in all water samples at concentrations ranging from 0.24 to 0.92 ng/L, followed by FIPS, from 0.16 to 0.39 ng/L, and FIPD, from <0.08 to 0.37 ng /L. In muscle samples, concentrations of FIP, FIPD and FIPS ranged from 0.04 to 0.32, 0.02 to 0.13 and 0.52 to 11.24 µg/kg, respectively. Gonkowski et al.58 evaluated the occurrence of ZEN and its metabolites α-ZEL and β-ZEL in dry fish and in river water where the species was captured. Data on ZEN levels in dry fish ranged from 27.2 to 53.9 μg/kg and <2000 to 18000 ng/L in water. In both studies, the authors concluded that these contaminants may contribute to consumers’ exposure and lead to public health problems.
Other studies also report bioaccumulation of pesticides carbaryl, famoxadone, fenpyroximate, thiamethoxam, boscalid and difenoconazole in ground beef at concentrations ranging from 10 to 20 μg/kg59, chlorpyrifos (1000 μg/kg) and phenthoate (5 μg/kg) in animal fat60 and 2,4-D (13400-26300 μg/kg) in fish meat61. Concerning mycotoxins enniatin A1 (1.7-29 μg/kg) enniatin B (1.3-103 μg/kg), enniatin B1 (1.4-94 μg/kg)62 and AFB1, their bioaccumulation was reported in fish muscle (0-264.73 µg/kg)63, AFB1 (40-600 ng/L) and AFM1 (40-3670 ng/L) in milk64, AFM1 (0.20-1.19 µg/kg) in powdered milk65, OTA (0.3-1.9 µg /kg) and ZEN (5-317.3 µg/kg) in seafood66.
Many contaminants have chemical structures that, after injection, interact with cellular organelles and macromolecules and induce toxic effects in mammals (e.g., cytotoxic, estrogenic, immunosuppressive, nephrotoxic, neurotoxic and carcinogenic)67. In addition, some pesticides may reduce intelligence and impair short-term memory, especially in children and adolescents68. It is noteworthy that, the higher the DIs of pesticides and mycotoxins in river water, followed by tap water, the more exposed to their negative effects is the population that uses this resource.
Thus, risks to human health posed by consumption of water contaminated with pesticides and mycotoxins cannot be ignored. However, their control has several challenges, such as different groups of pollutants that require distinct chemical processes, remediation technologies and objective treatment. Therefore, specific legislation that determines the lowest concentrations of the metabolites in water which does not cause any adverse effects must be established. Thus, regulatory agencies of each country establish guidelines on water quality parameters for consumption by its human population69. The WHO also establish its guidelines for drinking water quality70.
In addition, effective strategies to control or mitigate them must be developed and applied so that effective treatments may decrease adverse effects on humans. Physical, chemical, and biological methods have been applied to mitigate these contaminants in liquid matrices, such as the application of UV light radiation to mitigate aflatoxin M1 in milk71, ozone to mitigate patulin in apple juice72 and the enzyme peroxidase to mitigate OTA and ZEA in beer73, respectively. For pesticides, the best results are achieved by chemical method using photocatalysis resulting in 100 % degradation of monocrotophos in water74. In relation to the physical method, the best result is reached by reverse osmosis membrane and bio-filtration methodology with degradation value of 97 %75, while the biological method that has the best result is the hybrid membrane bioreactor treatment, which reached 99 % degradation76.
All methods (e.g., chemical, physical and biological ones) have good efficiency at mitigating mycotoxins and good variability in application because, even when methodologies are applied to several mycotoxins, mitigation ranged from 27 to 100 %77. Although there are no studies of degradation and mitigation of mycotoxins in environmental matrices, the methods presented can be the starting point for applications to water.
A large variety of pesticides and mycotoxins may be detected in drinking, waste, river and tap water. Data compilation from the literature and assessment of DI enabled to state that young individuals are exposed to higher concentrations of both groups of contaminants. In addition, the highest DI was observed in river water, followed by tap water. It means that the population that drinks water from these sources is more exposed to the deleterious effects of the contaminants. Even though intake values are below those established by the WHO for pesticides, their simultaneous ingestion may result in bioaccumulation in the food chain and in toxic synergism. To circumvent this problem and risk of exposure, it’s necessary that studies aiming at the degradation of mycotoxins and pesticides in water be carried out. Physical, chemical and biological methods can be tested, with or without a combination of them, and applied to minimize contamination and increase water quality, ensuring safe water for animals and humans. Furthermore, this study demonstrates the need to establish concentrations that can be ingested without health risks for mycotoxins and also for the pesticides that do not contain them.
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